Legal AI for All: Reducing Perplexity and Boosting Accuracy in Normative Texts With Fine-Tuned LLMs and RAG

This study investigates the potential of open-source Large Language Models (LLMs) to enhance the accessibility and understanding of complex legal information. Legal texts often present linguistic and structural barriers for non-experts, highlighting the need for tools that can support natural langua...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Patricio Santiago Garcia-Montero, Paulina Vizcaino, Ivan Galo Reyes-Chacon, Manuel Eugenio Morocho-Cayamcela
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Access
נושאים:	Large language models (LLM) generative AI fine tuning RAG Ecuadorian law legal
גישה מקוונת:	https://ieeexplore.ieee.org/document/11205497/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!